Sessions:
Tuesday, June 30, 2026, 10:00 – 11:00 AM ET
Thursday, July 2, 2026, 10:00 – 11:00 AM JST
Thursday, July 2, 2026, 10:00 – 11:00 AM CEST
Products: Phoenix® Cloud
Summary
Designing and simulating pharmacometric models has traditionally required steep learning curves, specialized tooling, and complex desktop setups. Model Designer changes that. Built on the Phoenix Cloud platform, it gives pharmacometricians — from students to seasoned experts — an intuitive, browser-based environment to discover, configure, and validate NLME models without installing a single piece of software.
In this live webinar, Certara product and engineering leaders will walk through the motivation behind Model Designer, a live demonstration of its core capabilities, and a preview of how it fits into existing Phoenix workflows. You’ll see how to navigate a visual library of models, how to modify parameters in real-time with code or menus, and even generate AI-power explainers for sharing your work with colleagues.
Whether you’re building your first population PK model or looking to accelerate how your team explores model behavior, this session will show you what’s now possible in the cloud.
You’ll walk away knowing
- How to browse and search Certara’s curated model library to find the right NLME model for your use case — instantly, from any browser
- How to configure compartmental models graphically and author custom models in PML with built-in syntax assistance and AI guidance
- How to rapidly simulate model behavior and explore PK/PD outputs visually — without needing a fitting dataset
- How Model Designer outputs — models and datasets — feed Phoenix NLME, Phoenix RsNLME, and Pirana for downstream analysis
- What’s on the product roadmap, and how the Phoenix Cloud Pharmacometrics Steering Committee is shaping the future of Model Designer
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Arjen Bos
Principal Product Manager, CertaraArjen is a product manager with more than 20 years of experience in the life sciences industry. He joined Certara two years ago and is involved with a variety of Phoenix Cloud modules.
James Craig, MS
Principal Software Engineer, PMxJames is a Staff Software Engineer with 14 years of experience developing scientific and pharmacometric software in highly collaborative, cross-functional environments. He specializes in statistical computing, modeling workflow systems, and scientific application development, with deep expertise in R, Shiny, Python, and domain-specific languages for Non-Linear Mixed-Effects Modeling, including PML for Phoenix NLME and NMTRAN for NONMEM. James also has strong experience in enterprise and cloud-native web application development, including Java, JavaScript/TypeScript, React, database systems, APIs, and containerized execution environments. His work bridges pharmacometrics, software engineering, applied statistics, and machine learning, and he has coauthored seven scientific publications in leading journals.
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